# Monitor Nike running shoe discounts in Germany

**Use case:** 

Monitor **discounted Nike running shoes** on **Nike.com Germany**. Each product
row includes current price, initial price, discount percentage, color, badge
labels, and URL — perfect for deal tracking and promotional analysis. Uses
`searchQueries: ["laufschuhe"]` with up to 150 products. Listing-only pricing at
**$1 per 1,000 products**; schedule daily runs to catch new markdowns quickly.

## Input

```json
{
  "searchQueries": [
    "laufschuhe"
  ],
  "startUrls": [
    {
      "url": "https://www.nike.com/de/w/herren-schuhe-nik1zy7ok"
    }
  ],
  "filters": [],
  "marketplace": "DE",
  "language": "de",
  "includeProductDetails": false,
  "includeReviews": false,
  "maxReviewsPerProduct": 0,
  "detailConcurrency": 10,
  "maxItems": 150,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "productCode": {
    "label": "Product Code",
    "format": "string"
  },
  "styleCode": {
    "label": "Style Code",
    "format": "string"
  },
  "currentPrice": {
    "label": "Price",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "integer"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "seed": {
    "label": "Source",
    "format": "string"
  },
  "marketplace": {
    "label": "Marketplace",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Nike Scraper](https://apify.com/rigelbytes/nike-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rigelbytes/nike-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rigelbytes/nike-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).